Job description

The AI Solutions Architect serves as a critical link between the FAS community and the rapidly evolving landscape of AI capabilities. The Architect leads opportunity discovery, problem definition, stakeholder alignment, and overall solution architecture. Working as a paired team, both the Architect and AI Solutions Engineer contribute hands-on from prototype through product delivery. The Architect contributes to implementation, testing, demonstrations, and production transition; the Engineer holds primary responsibility for detailed engineering, deployment, reliability, and operational readiness. The Architect ensures a clear path to secure, sustainable support. Job-specific Responsibilities: • Engage faculty, researchers, and staff across FAS to identify and frame AI opportunities and define intended outcomes. • Lead requirements and tool selection, and design solutions per established patterns and University data, security, and privacy policy. • Scope problem statements and lead rapid prototyping (AI platforms, APIs, low-code/no-code), partnering with the Engineer to put working software in front of stakeholders early. • Assess sustainability - including cost, security, maintenance, service-owner capacity - and define readiness and acceptance criteria.. • Own the governance relationship (security, privacy, accessibility, data-governance, research computing) and secure the approvals that turn prototypes into supported services. • Communicate across all levels of technical fluency and lead stakeholder alignment throughout delivery. • Document architectures, decisions, and trade-offs so others can maintain and extend the work. • Track the evolving AI landscape and lead evidence-based recommendations on readiness, capability, risk, cost, and fit. • Contribute hands-on to implementation, testing, demos, and production transition, with the Engineer primary on detailed engineering and operations. • Partner with HUIT's AI Innovation team to evaluate emerging capabilities and lead user-value prototyping. Basic Qualifications: Basic Qualifications are the minimum threshold a candidate must meet in order to be considered for this role. • Minimum of seven years’ post-secondary education or relevant work experience Additional Qualifications and Skills: The following qualifications are strongly preferred. If you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn. • 5+ years of experience in software development or solutions architecture • 2+ years of hands-on experience with AI/ML platforms, LLMs, or applied AI tooling • Proficiency with AI/ML frameworks and APIs, including LLM integration, retrieval/grounding, prompt design, and evaluation • Experience rapidly prototyping through spec-driven development and agentic coding tools • Strong communication across technical and non-technical audiences • Systems thinking focused on privacy, integration, and maintainability • Strong analytical reasoning and systems thinking • Excellent writing and communication skills, including synthesizing complex, technical information for both technical and executive audiences • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience • Hybrid: This position operates in a standard hybrid office/remote environment. Occasional on-campus presence may be required to support production systems and collaborate with HUIT and FAS teams. • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position • Pre-Employment Screening: Identity • Other Information: Please provide a cover letter and resume as one document with your application. This position has an 180-day orientation and review period. #LI-BT1 Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts . Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 059. Please visit  Harvard's Salary Ranges   to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: • Generous paid time off including parental leave • Medical, dental, and vision health insurance coverage starting on day one • Retirement plans with university contributions • Wellbeing and mental health resources • Support for families and caregivers • Professional development opportunities including tuition assistance and reimbursement • Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page . EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination . We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy . Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Requirements

Must-haves

Engage faculty, researchers, and staff across FAS to identify and frame AI opportunities and define intended outcomes.
Lead requirements and tool selection, and design solutions per established patterns and University data, security, and privacy policy.
Scope problem statements and lead rapid prototyping (AI platforms, APIs, low-code/no-code), partnering with the Engineer to put working software in front of stakeholders early.
Assess sustainability - including cost, security, maintenance, service-owner capacity - and define readiness and acceptance criteria..
Own the governance relationship (security, privacy, accessibility, data-governance, research computing) and secure the approvals that turn prototypes into supported services.
Communicate across all levels of technical fluency and lead stakeholder alignment throughout delivery.
Document architectures, decisions, and trade-offs so others can maintain and extend the work.
Track the evolving AI landscape and lead evidence-based recommendations on readiness, capability, risk, cost, and fit.
Contribute hands-on to implementation, testing, demos, and production transition, with the Engineer primary on detailed engineering and operations.
Partner with HUIT's AI Innovation team to evaluate emerging capabilities and lead user-value prototyping.
Basic Qualifications are the minimum threshold a candidate must meet in order to be considered for this role.
Minimum of seven years’ post-secondary education or relevant work experience
5+ years of experience in software development or solutions architecture
2+ years of hands-on experience with AI/ML platforms, LLMs, or applied AI tooling
Proficiency with AI/ML frameworks and APIs, including LLM integration, retrieval/grounding, prompt design, and evaluation
Experience rapidly prototyping through spec-driven development and agentic coding tools
Strong communication across technical and non-technical audiences
Systems thinking focused on privacy, integration, and maintainability
Strong analytical reasoning and systems thinking
Excellent writing and communication skills, including synthesizing complex, technical information for both technical and executive audiences
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience
Hybrid: This position operates in a standard hybrid office/remote environment. Occasional on-campus presence may be required to support production systems and collaborate with HUIT and FAS teams.
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position

Nice-to-haves

The following qualifications are strongly preferred. If you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

Paid Time Off

Parental Leave

Professional Development